For too long, cybersecurity risk has been measured in meaningless colors. Red, yellow, green heat maps don't tell executives what they need to know: How much could we actually lose? How likely is it? How much should we spend to prevent it?
RiskRadar was built to change that. We provide security leaders with the tools to express cyber risk in the language of business: dollars and probabilities. Using the proven Hubbard Decision Research (HDR) methodology and Factor Analysis of Information Risk (FAIR) framework, we help organizations make defensible, data-driven security decisions.
Traditional risk assessments produce qualitative ratings that can't be mathematically combined, compared, or used to calculate return on investment. When the board asks "What's our exposure?" and all you have is a heat map, you're not speaking their language.
RiskRadar uses Monte Carlo simulation to produce probability distributions of potential losses. Instead of "high risk," you can say "We have a $2.4 million expected annual loss from ransomware, with a 10% chance of exceeding $8 million." That's a number the CFO can work with.
RiskRadar implements the methodology described in "How to Measure Anything in Cybersecurity Risk" by Douglas Hubbard and Richard Seiersen. This approach has been validated across industries and is grounded in decision science and applied statistics.
We also incorporate the FAIR (Factor Analysis of Information Risk) framework, the international standard for quantitative risk analysis, to decompose complex risks into their component factors.
We believe in measuring what matters. Gut feelings aren't good enough for decisions that could cost millions.
Calibration training isn't just a feature—it's a philosophy. We're always improving our estimation accuracy.
Every recommendation we help you make should be backed by data, methodology, and clear reasoning.
Quantitative risk analysis shouldn't require a PhD. We make these methods accessible to every security team.
RiskRadar was founded by security professionals and risk analysts who were frustrated with the limitations of traditional risk assessment methods. We've lived the pain of trying to justify security budgets with nothing but heat maps, and we built the tool we wished we had.
Our team combines expertise in cybersecurity, quantitative risk analysis, decision science, and software engineering to bring you a platform that's both scientifically rigorous and practically useful.